Instructions to use EnD-Diffusers/animanga-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/animanga-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/animanga-model", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "anipoma1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1367ccfbe0adbc2e58072b5f0236d213a65fac5e9638477ae7abdfc3e2d5bdab
- Size of remote file:
- 2.13 GB
- SHA256:
- 581fa38af92018510d9c09b7d6a0efca72e3f8496081912dcfdae7e60b49a3c3
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